PhD in Astrophysics

Precise knowledge of stellar properties is the cornerstone of exoplanet science. Every measurement of an exoplanet’s radius, mass, and age depends critically on our understanding of its host star. This PhD project will develop Bayesian Hierarchical Models (BHMs) to infer the fundamental parameters of large stellar populations and their hosted planets in a statistically self-consistent way. Training will be provided in all aspects of the project, including computational statistics, stellar astrophysics, and reproducible research software development.